This course will be treated as a workshop in decision consulting and modeling. It will develop additional methodology and more advanced applications for students who were comfortable in First Year Decision Analysis and wish to pick up where that course left off without significant overlap. Applications receiving special attention in this course are financial modeling, such as the random walk, hedging, and modeling of real options; strategy analysis and modeling, including structuring models, hybrid strategies, and contingent strategy under uncertainty; and marketing models, such as brand-switching dynamics. One class day will be treated as a real-time modeling studio, where the class works together on a task provided in a one-page case at the beginning of class. New methodology will treat risk preference, risk management, correlated variables and scenarios, risk exposure, dynamic uncertainty models, Optquest for optimization within simulation models, and the decision quality process used in decision consulting. Students will use Excel and a number of add-in software products.


Academic course objectives:


·         Provide experience in decision consulting and modeling in a workshop atmosphere

·         Extend the methodology and advanced applications used in First-Year Decision Analysis

·         Develop general modeling skills and experience through a decision quality process


Elements of the course grade:


Class contribution                               40%

Final examination or paper                  45%

Written exercises during course          10%

Risk Preference Utility tutorial/quiz     5%


Web address for additional course information: